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Table 1 Cross validation results from feature combination experiments

From: Predicting tumor cell line response to drug pairs with deep learning

Molecular features Drug features MSE MAE R 2
Baseline Baseline 0.5253 0.5709 -1.001
One-hot encoding One-hot encoding 0.2448 0.3997 0.1269
Gene expression One-hot encoding 0.2447 0.3999 0.1272
Gene expression 500-dimensional noise 0.2450 0.4008 0.1271
One-hot encoding Dragon7 descriptors 0.0292 0.1086 0.8892
Proteome Dragon7 descriptors 0.0303 0.1117 0.8844
microRNA Dragon7 descriptors 0.0275 0.1050 0.8952
Gene expression Dragon7 descriptors 0.0180 0.0906 0.9364
Gene expression, microRNA, proteome Dragon7 descriptors 0.0158 0.0833 0.9440
  1. The boldface row represents the best cross validation